Scientific Post-Training Bench Evaluations
Collection
Public evaluation artifacts and provenance manifests for ScientificPostTrainBench. No task supplies training examples. • 5 items • Updated
benchmark_id string | distribution_policy string | source dict | files dict | split dict | training_examples_supplied int64 |
|---|---|---|---|---|---|
raman-bioprocess-eval-v1 | provenance-only-no-row-redistribution | {
"repo_id": "HTW-KI-Werkstatt/RamanBench",
"repo_type": "dataset",
"revision": "1d4c2ec1a922438b4d5d6e64e3c4b877dbe45b18"
} | {
"bioprocess_analytes_anton_532/data/train-00000-of-00001.parquet": "2c00b8ab513e98865e40a739cc454dfb02c32cc80e740fba4d5765d0bf364318",
"bioprocess_analytes_anton_785/data/train-00000-of-00001.parquet": "b0fe33e2d8b7f6b46daf3ccf5eee6f4bcfbb71a9c879e97e7e64f06b0e091541",
"bioprocess_analytes_tec5/data/train-00000... | {
"test_size": 0.2,
"random_state": 42,
"group_regression_splits": true,
"targets": [
"Glucose",
"Acetate"
]
} | 0 |
Scientific Post-Training Raman Evaluation Resolver v1
This repository is the canonical provenance manifest for the
raman-bioprocess Harbor task. It intentionally contains no Raman spectra or
labels because the upstream RamanBench mirror requires users to respect each
original dataset's terms and prohibits unapproved redistribution.
manifest.json pins the public Hugging Face source, exact commit, four Parquet
file hashes, deterministic split, and target definitions. During the Harbor
image build, the task downloads those files directly from
HTW-KI-Werkstatt/RamanBench, verifies every hash, and materializes the local
read-only evaluation bundle used by /app/evaluate.py.
The selected test rows are evaluation-only. No training examples are supplied by this repository or the Harbor task.
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